AIMC Topic: Big Data

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Effective of Smart Mathematical Model by Machine Learning Classifier on Big Data in Healthcare Fast Response.

Computational and mathematical methods in medicine Feb 23, 2022
In the past few years, big data related to healthcare has become more important, due to the abundance of data, the increasing cost of healthcare, and the privacy of healthcare. Create, analyze, and process large and complex data that cannot be proces...
Computational Biology Electronic Health Records Big Data Machine Learning Delivery of Health Care Databases, Factual Algorithms Humans
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Protein-DNA/RNA interactions: Machine intelligence tools and approaches in the era of artificial intelligence and big data.

Proteomics Feb 13, 2022
With the development of artificial intelligence (AI) technologies and the availability of large amounts of biological data, computational methods for proteomics have undergone a developmental process from traditional machine learning to deep learning...
Proteomics RNA Machine Learning Big Data Artificial Intelligence
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Blockchain-Based Deep Learning to Process IoT Data Acquisition in Cognitive Data.

BioMed research international Feb 11, 2022
Remote health monitoring can help prevent disease at the earlier stages. The Internet of Things (IoT) concepts have recently advanced, enabling omnipresent monitoring. Easily accessible biomarkers for neurodegenerative disorders, namely, Alzheimer's ...
Humans Deep Learning Big Data Alzheimer Disease Internet of Things Blockchain
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DGSLSTM: Deep Gated Stacked Long Short-Term Memory Neural Network for Traffic Flow Forecasting of Transportation Networks on Big Data Environment.

Big data Feb 10, 2022
Deep learning and big data techniques have become increasingly popular in traffic flow forecasting. Deep neural networks have also been applied to traffic flow forecasting. Furthermore, it is difficult to determine whether neural networks can be used...
Transportation Deep Learning Big Data Neural Networks, Computer Forecasting
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Decision Support Systems in HF based on Deep Learning Technologies.

Current heart failure reports Feb 10, 2022
PURPOSE OF REVIEW: Application of deep learning (DL) is growing in the last years, especially in the healthcare domain. This review presents the current state of DL techniques applied to electronic health record structured data, physiological signals...
Heart Failure Deep Learning Big Data Humans Machine Learning Algorithms
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Overcoming challenges in extracting prescribing habits from veterinary clinics using big data and deep learning.

Australian veterinary journal Jan 25, 2022
Understanding antimicrobial usage patterns and encouraging appropriate antimicrobial usage is a critical component of antimicrobial stewardship. Studies using VetCompass Australia and Natural Language Processing (NLP) have demonstrated antimicrobial ...
Big Data Habits Animals Deep Learning Hospitals, Animal Anti-Bacterial Agents Anti-Infective Agents
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Pro: Neurocritical Care Big Data and AI: It's About Expertise.

Neurocritical care Jan 24, 2022
Artificial Intelligence Big Data Humans
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Novel Big Data-Driven Machine Learning Models for Drug Discovery Application.

Molecules (Basel, Switzerland) Jan 18, 2022
Most contemporary drug discovery projects start with a 'hit discovery' phase where small chemicals are identified that have the capacity to interact, in a chemical sense, with a protein target involved in a given disease. To assist and accelerate thi...
Receptor, Adenosine A2A Receptors, Opioid, kappa Ligands Protein Conformation Big Data Protein Binding Machine Learning Computer Simulation Humans Algorithms Drug Discovery
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Big Data/AI in Neurocritical Care: Maybe/Summary.

Neurocritical care Dec 29, 2021
Big data (BD) and artificial intelligence (AI) have increasingly been used in neurocritical care. "BD" can be operationally defined as extremely large datasets that are so large and complex that they cannot be analyzed by using traditional statistica...
Artificial Intelligence Big Data Algorithms Humans Machine Learning Retrospective Studies
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Registries, Databases and Repositories for Developing Artificial Intelligence in Cancer Care.

Clinical oncology (Royal College of Radiologists (Great Britain)) Dec 23, 2021
Modern artificial intelligence techniques have solved some previously intractable problems and produced impressive results in selected medical domains. One of their drawbacks is that they often need very large amounts of data. Pre-existing datasets i...
Neoplasms Big Data Artificial Intelligence Databases, Factual Humans Registries
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